Automated GitLab MR Review and Risk Assessment Workflow

This n8n workflow automates the process of analyzing GitLab merge requests (MR) for potential issues, risks, and quality improvements. It begins with a GitLab trigger that detects when a MR is created or updated. The workflow then fetches the code changes (diffs) from GitLab using an API request, and processes these diffs through an AI model (Claude AI) to generate a detailed review report. The AI analysis includes risk level assessment, identification of issues, suggestions for code improvements, and comprehensive test cases for QA. The workflow also compiles a list of relevant developer and QA team members based on project and global contacts for effective communication. An email notification system then sends a formatted, HTML-rich report to the identified team members, and also posts the AI-generated review comments directly on the GitLab MR. This automation streamlines code review, enhances security and quality, and accelerates development cycles, making it ideal for DevOps, QA teams, and project management in software development environments.